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Apache License
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85
README.md
85
README.md
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@ -1,21 +1,72 @@
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## whale-anno
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Datawhale自研数据标注工具，让标注更简单
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# whaleAnno
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Datawhale自研数据标注工具
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<a name="快速体验"></a>
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## 快速体验
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- PC端：
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- 更简单的NER标注工具：https://tekii.cn/ner/
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- 或者直接release中下载[单机版](https://github.com/datawhalechina/whale-anno/releases)（目前只有Windows版本，Mac需要用到Mac机器打包）
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- 代码体验：从[快速开始](./doc/doc_ch/quickstart.md)开始
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## Demo
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https://tekii.cn/ner/
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<a name="许可证书"></a>
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## 许可证书
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本项目的发布受<a href="https://github.com/datawhalechina/whale-anno/blob/main/LICENSE">Apache 2.0 license</a>许可认证。
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## 快速开始
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### 1.环境配置
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#### 下载所需软件
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##### Python 3
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经测试whaleAnno后端代码可在Python 3.7.9上运行，您也可以测试其他版本，一般建议安装最新版
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<a name="贡献代码"></a>
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## 贡献代码
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我们非常欢迎你为whale-anno贡献代码，也十分感谢你的反馈。
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##### Node.js
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经测试whaleAnno前端代码可在Node.js v12.16.3上运行，在Node.js v8.10.0安装本地调试工具失败，您也可以测试其他版本，一般建议安装最新版
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- 非常感谢 [谢文睿](https://github.com/Sm1les) 贡献了NER标注工具的概念想法
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- 非常感谢 [马琦钧](https://github.com/Skypow2012) 贡献了NER标注工具的前端代码，并编写了中文文档
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- 非常感谢 付文豪 贡献了NER标注工具的后端代码
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#### 克隆项目
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```shell
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git clone https://github.com/datawhalechina/whale-anno.git
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```
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#### 下载依赖
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##### 下载后端依赖
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```shell
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# 下载后端依赖
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python3 -m pip install flask
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```
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后端只依赖了flask这个第三方库
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##### 下载前端依赖
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```shell
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# 进入前端文件夹
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cd ./fe
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# 下载前端依赖
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npm install
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```
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npm为Node.js安装以后自带的包管理工具
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### 2.启动项目
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#### 启动后端
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打开终端
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```shell
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# 进入后端目录
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cd ./be
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# 启动后端脚本
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python3 ./run.py
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```
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此时项目的后端会被启动在http://localhost:9060/
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#### 启动前端
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用上述方法，打开一个新的命令行
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```shell
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# 进入前端
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cd ./fe
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# 启动前端页面
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npm run start
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```
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此时项目的前端会被启动在http://localhost:8080/
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### 3.开始使用
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打开上述前端页面地址（ http://localhost:8080/ ），然后请参考[使用说明](./doc/README.md)开始使用。
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## 开发团队
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| 职责 | 名单 |
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| :---: | :---: |
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| **PM** | [谢文睿](https://github.com/Sm1les) |
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| **前端** | [马琦钧](https://github.com/Skypow2012) |
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| **后端** | 付文豪 |
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## 关注我们
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<div align=center>
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<img src="https://raw.githubusercontent.com/datawhalechina/pumpkin-book/master/res/qrcode.jpeg" width = "250" height = "270" alt="Datawhale是一个专注AI领域的开源组织，以“for the learner，和学习者一起成长”为愿景，构建对学习者最有价值的开源学习社区。关注我们，一起学习成长。">
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</div>
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# 使用说明
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## 视频教程
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[whaleAnno使用说明](./quickuse.mp4)
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## 1、开启后端
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进入be目录，通过【python3 run.py】开启后台。（开始前请先参考[快速开始](./doc/doc_ch/quickstart.md)做好环境配置）
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## 2、开启前端
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# 环境配置
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## 一、下载所需软件
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### 1、Python 3
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经测试Whale-anno后端代码可在Python 3.7.9上运行，您也可以测试其他版本，一般建议安装最新版
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[Python 3官网下载地址](https://www.python.org/downloads/)
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### 2、Node.js
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经测试Whale-anno前端代码可在Node.js v12.16.3上运行，在Node.js v8.10.0安装本地调试工具失败，您也可以测试其他版本，一般建议安装最新版
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[Node.js官网下载地址](https://nodejs.org/zh-cn/download/)
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## 二、克隆项目
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```shell
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git clone https://github.com/datawhalechina/whale-anno.git
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```
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## 三、下载依赖
|
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### 1、下载后端依赖
|
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```shell
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# 下载后端依赖
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python3 -m pip install flask
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```
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*后端只依赖了flask这个第三方库*
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### 2、下载前端依赖
|
||||
```shell
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# 进入前端文件夹
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cd ./fe
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# 下载前端依赖
|
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npm install
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```
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*npm为Node.js安装以后自带的包管理工具*
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# 快速开始
|
||||
## 一、环境配置
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请参考[环境配置](./installation.md)配置whale-anno运行环境。
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## 二、启动项目
|
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### 1、启动后端
|
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打开命令行（Windows中的打开方式：进入项目目录，按住键盘上的shift，然后右键，选择在【在此处打开 PowerShell 窗口(S)】）
|
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```shell
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# 进入后端目录
|
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cd ./be
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# 启动后端脚本
|
||||
python3 ./run.py
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```
|
||||
*此时项目的后端会被启动在http://localhost:9060/*
|
||||
### 2、启动前端
|
||||
用上述方法，打开一个新的命令行
|
||||
```shell
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# 进入前端
|
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cd ./fe
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# 启动前端页面
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||||
npm run start
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```
|
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*此时项目的前端会被启动在http://localhost:8080/*
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## 三、开始使用
|
||||
打开上述前端页面地址，然后请参考[快速使用](./quickuse.md)。
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